A New Coupled Subdiffusion Model and Its Partitioned Time-Stepping Algorithm

This paper investigates an interface-coupled fractional subdiffusion model, featuring two subdiffusion equations in adjacent domains connected by an interface allowing bidirectional energy transfer. The fractional derivative, accounting for long-term medium effects, introduces challenges in theoretical analysis and computational efficiency. We propose a partitioned time-stepping algorithm using higher-order extrapolations on the interface term to decouple the system with improved temporal accuracy, combined with finite element spatial approximations. Rigorous theoretical analysis demonstrates unconditional stability and optimal $L^2$ norm error estimates, supported by several numerical experiments.

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Publication Details

Journal
Journal of Computational Mathematics
Published
2025-05-09
DOI
https://doi.org/10.4208/jcm.2504-m2025-0005
Primary Topic
Numerical methods for differential equations
Type
article
Field-Weighted Citation Impact
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article

A New Coupled Subdiffusion Model and Its Partitioned Time-Stepping Algorithm

Zheng Li, Hui Xu, Yuting Xiang
Journal of Computational Mathematics
Numerical methods for differential equations
article

A New Coupled Subdiffusion Model and Its Partitioned Time-Stepping Algorithm

Zheng Li, Hui Xu, Yuting Xiang
article en

Abstract

This paper investigates an interface-coupled fractional subdiffusion model, featuring two subdiffusion equations in adjacent domains connected by an interface allowing bidirectional energy transfer. The fractional derivative, accounting for long-term medium effects, introduces challenges in theoretical analysis and computational efficiency. We propose a partitioned time-stepping algorithm using higher-order extrapolations on the interface term to decouple the system with improved temporal accuracy, combined with finite element spatial approximations. Rigorous theoretical analysis demonstrates unconditional stability and optimal $L^2$ norm error estimates, supported by several numerical experiments.

Journal of Computational Mathematics
Donghua University (CN), Shanghai Jiao Tong University (CN), East China Normal University (CN)
Openalex Percentile: Top 85%
Numerical methods for differential equations
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